LMDeploy vs Serge
A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
LMDeploy
Toolkit for compressing and serving large language models
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Serge
Self-hosted LLaMA chat UI with no API keys needed
| Feature | LMDeploy | Serge |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | Apache-2.0 | Apache-2.0 |
| Language | Python | Svelte |
| Setup difficulty | Hard | Easy |
| Min. RAM | 16,384 MB | 8,192 MB |
| Deployment | docker, source | docker |
| GitHub stars | ★ 7,998 | ★ 5,716 |
| First released | 2023 | 2023 |
| Replaces | OpenAI API, Hugging Face Inference Endpoints | ChatGPT |
Why pick each one
Choose LMDeploy if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Mature project with 8k GitHub stars
- Written in Python
Choose Serge if…
- Released under the Apache-2.0 license
- Easy to set up — beginner-friendly
- First-class Docker support for quick deployment
- Mature project with 5.7k GitHub stars
Frequently asked questions
Is LMDeploy or Serge better?
Neither is universally better. LMDeploy has the larger community, while Serge is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are LMDeploy and Serge free and open-source?
Yes. LMDeploy is licensed under Apache-2.0 and Serge under Apache-2.0. Both can be self-hosted at no software cost.
Can I run LMDeploy and Serge with Docker?
LMDeploy: yes. Serge: yes.